Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bullock County, AL

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bullock County, AL
Series ID MHICILBAL01011A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:55 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 10905
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 13417
1994-01-01 .
1995-01-01 15950
1996-01-01 .
1997-01-01 17119
1998-01-01 18902
1999-01-01 19750
2000-01-01 19758
2001-01-01 18879
2002-01-01 18674
2003-01-01 19497
2004-01-01 19069
2005-01-01 19685
2006-01-01 20956
2007-01-01 22440
2008-01-01 24328
2009-01-01 21705
2010-01-01 23485
2011-01-01 23340
2012-01-01 23441
2013-01-01 23458
2014-01-01 23720
2015-01-01 25337
2016-01-01 31716
2017-01-01 25929
2018-01-01 26064
2019-01-01 28249
2020-01-01 27881
2021-01-01 28131
2022-01-01 31405

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